| Characterization of the yeast ionome: a genome-wide analysis of nutrient mineral and trace element homeostasis in Saccharomyces cerevisiae DJ Eide, S Clark, TM Nair, M Gehl, M Gribskov, ML Guerinot, JF Harper Genome biology 6, 1-13, 2005 | 260 | 2005 |
| Two-dimensional transcriptome profiling: identification of messenger RNA isoform signatures in prostate cancer from archived paraffin-embedded cancer specimens HR Li, J Wang-Rodriguez, TM Nair, JM Yeakley, YS Kwon, M Bibikova, ... Cancer Research 66 (8), 4079-4088, 2006 | 95 | 2006 |
| The PlantsP and PlantsT functional genomics databases JH Tchieu, F Fana, JL Fink, J Harper, TM Nair, RH Niedner, DW Smith, ... Nucleic acids research 31 (1), 342-344, 2003 | 77 | 2003 |
| Surface plasmon resonance kinetic studies of the HIV TAR RNA kissing hairpin complex and its stabilization by 2-thiouridine modification TM Nair, DG Myszka, DR Davis Nucleic Acids Research 28 (9), 1935-1940, 2000 | 49 | 2000 |
| MAASE: an alternative splicing database designed for supporting splicing microarray applications CL Zheng, YS Kwon, HR Li, KUI Zhang, G Coutinho-Mansfield, C Yang, ... Rna 11 (12), 1767-1776, 2005 | 38 | 2005 |
| Rival penalized competitive learning (RPCL): a topology-determining algorithm for analyzing gene expression data TM Nair, CL Zheng, JL Fink, RO Stuart, M Gribskov Computational biology and chemistry 27 (6), 565-574, 2003 | 34 | 2003 |
| Application of artificial neural networks for prokaryotic transcription terminator prediction TM Nair, SS Tambe, BD Kulkarni FEBS letters 346 (2-3), 273-277, 1994 | 29 | 1994 |
| Statistical and artificial neural network-based analysis to understand complexity and heterogeneity in preeclampsia TM Nair Computational biology and chemistry 75, 222-230, 2018 | 26 | 2018 |
| On the consensus structure within the E. coli promoters TM Nair, BD Kulkarni Biophysical chemistry 48 (3), 383-393, 1994 | 24 | 1994 |
| Evidence for intrinsic DNA bends within the human cdc2 promoter TM Nair FEBS letters 422 (1), 94-98, 1998 | 22 | 1998 |
| A database designed to computationally aid an experimental approach to alternative splicing M TM NAIR, YS KWON, HR LI, XD FU Pacific Symposium on Biocomputing 2004: Hawaii, USA, 6-10 January 2004, 78, 2003 | 20 | 2003 |
| Neonatal thyroxine activation modifies epigenetic programming of the liver TL Fonseca, T Garcia, GW Fernandes, TM Nair, AC Bianco Nature communications 12 (1), 4446, 2021 | 13 | 2021 |
| Sequence periodicity in nucleosomal DNA and intrinsic curvature TM Nair BMC Structural Biology 10, 1-9, 2010 | 11 | 2010 |
| Analysis of transcription control signals using artificial neural networks TM Nair, SS Tambe, BD Kulkarni Bioinformatics 11 (3), 293-300, 1995 | 8 | 1995 |
| Adenomatous Polyposis Coli loss controls cell cycle regulators and response to paclitaxel in MDA-MB-157 metaplastic breast cancer cells EM Astarita, SM Maloney, CA Hoover, BJ Berkeley, MK VanKlompenberg, ... Plos one 16 (8), e0255738, 2021 | 7 | 2021 |
| On the mobility behavior of a curved DNA fragment located in circular permutations TM Nair, K Madhusudan, V Nagaraja, BD Kulkarni, HK Majumdar, ... FEBS letters 351 (3), 321-324, 1994 | 7 | 1994 |
| Building and interpreting artificial neural network models for biological systems TM Nair Artificial Neural Networks, 185-194, 2021 | 6 | 2021 |
| On Selecting Features from Splice Junctions An Analysis Using Information Theoretic and Machine Learning Approaches CL Zheng, VR De Sa, M Gribskov, TM Nair Genome Informatics 14, 73-83, 2003 | 6 | 2003 |
| Differential binding of RNA polymerase to the wild type Mu mom promoter and its C independent mutant: a theoretical analysis TM Nair, BD Kulkarni, V Nagaraja Biophysical Chemistry 53 (3), 241-245, 1995 | 6 | 1995 |
| Calliper randomization: an artificial neural network based analysis of E. coli ribosome binding sites TM Nair Journal of Biomolecular Structure and Dynamics 15 (3), 611-617, 1997 | 5 | 1997 |
